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Show an Image in Matplotlib with Different Colors and Channels
To slice an image into Red, Green and Blue channels with misc.imread, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Read an image from a file into an array.
- Make lists of colormaps and titles.
- Create a figure and a set of subplots.
- Zip the axes, images, titles and colormaps.
- Iterate zipped objs and set the title of each channel image.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True image = plt.imread('bird.png') titles = ['With red channel', 'With green channel', 'With blue channel'] cmaps = [plt.cm.Reds_r, plt.cm.Greens_r, plt.cm.Blues_r] fig, axes = plt.subplots(1, 3) objs = zip(axes, (image, *image.transpose(2, 0, 1)), titles, cmaps) for ax, channel, title, cmap in objs: ax.imshow(channel, cmap=cmap) ax.set_title(title) ax.set_xticks(()) ax.set_yticks(()) plt.show()
Input Image
Output Image
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